Add Caching for Heavy Reads

[DevPatel1023]

Description

• Some endpoints or database queries are being hit frequently and are causing high load times or unnecessary database usage. To improve performance and reduce resource strain, we should implement a caching mechanism for read-heavy operations.

Problem

• Frequently accessed data is fetched from the database on every request.

• This leads to higher latency and increased database load.

• Results for some queries (e.g., user profiles, statistics, or configs) don’t change often.

Proposed Solution

• Introduce a caching layer for data that is read frequently but changes infrequently. Possible approaches:

• Use an in-memory cache (e.g., Redis, Memcached) to store query results or rendered responses.

• Set appropriate cache expiration (TTL) to keep data fresh.

• Implement cache invalidation when underlying data changes.

• Optionally, use HTTP caching headers (e.g., ETag, Cache-Control) for frontend or API responses.

[pranjalarora98]

@DevPatel1023 can u plz assign me this issue!!

[DevPatel1023]

Sorry, @pranjalarora98 it's not open source project . It is my personal project to learn go-lang and next.js.